Data Science Engineering Lead
1 tydzień temu
We are seeking an experienced Data Science Engineering Lead to join our team at DCG. This is a unique opportunity to leverage your expertise in ML Ops and engineering to drive the success of our data-driven projects.
Job DescriptionKey Responsibilities:
- Design, implement, and maintain scalable data science solutions using Azure cloud environment and Databricks.
- Collaborate with cross-functional teams to deliver high-quality data products and services that meet business requirements.
- Leverage DevOps practices, including CI/CD pipelines, to ensure efficient and reliable deployment of models and data assets.
- Develop and maintain well-documented, testable, and efficient code.
- Work closely with engineering teams to improve data consumption and model deployment processes.
- Lead monitoring, troubleshooting, debugging, and incident management for ML pipelines.
Requirements:
- Minimum 2 years of experience in ML Ops or ML engineering, with a strong track record of productionizing and scaling ML models.
- Excellent command of English, both written and spoken.
- Broad knowledge of Azure cloud environment and Databricks, including setup and maintenance as an ML platform.
- Proven experience with software development best practices, including testing, continuous integration, and DevOps tools.
- Advanced proficiency in Python and SQL, with experience in version control systems (git) and building ML & data pipelines.
- Strong understanding of the data science lifecycle and how data scientists work to deliver value.
- Familiarity with agile software development methodologies (SCRUM, Kanban, etc.).
Nice to Have:
- Experience with productionizing ML tools involving user interfaces (e.g., Dash, Shiny R, Streamlit).
- Excellent communication skills to guide audiences with varying technical knowledge through complex ML Ops topics.
- Knowledge of KNIME and related tools.
- Experience coaching or mentoring junior team members in areas of expertise.
Offer:
- Private medical care.
- Co-financing for sports cards.
- Training and learning opportunities.
- Ongoing support from dedicated consultants.
- Team-building events organized by DCG.
- Employee referral program.
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